DocumentCode :
644425
Title :
D-PALD: A Dynamic Power-Aware Load Dispatcher with Response Time Percentile Guarantee in Heterogeneous Clusters
Author :
Xu Zhou ; Qiang Cao ; Changesheng Xie ; Xubin He
Author_Institution :
Sch. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear :
2013
fDate :
17-19 July 2013
Firstpage :
336
Lastpage :
340
Abstract :
The power consumption of a server is not linear to its activeness, i.e., a server with 10% load may still draw as much as 60% of its peak power, therefore, a significant amount of energy has been used to keep servers active even under very light or idle loads. The resulting effect has been increased low power-effectiveness in data centers which elevate ownership costs and put more pressure on rack and enclosure densities. This motivates us to design a scheme to dynamically dispatch load to achieve energy efficiency while maintaining the quality of service (QoS) by exploiting a fundamental characteristic of data centers: heterogeneity. In this work, we propose D-PALD to guarantee response time percentile while dynamically dispatch the workload among the servers to maximize the power efficiency in heterogeneous data centers. We develop a power efficiency model to characterize properties of servers while providing the percentile guarantee and also design a power aware load dispatching algorithm. Our experiments demonstrate that DPALD can save a significant amount of power without sacrificing user performance compared to the baseline power management algorithms.
Keywords :
computer centres; energy conservation; power aware computing; quality of service; resource allocation; D-PALD framework; QoS; data centers; dynamic power-aware load dispatcher; enclosure density; energy efficiency; heterogeneity characteristic; heterogeneous clusters; ownership costs; power efficiency model; power management algorithms; quality of service; rack density; response time percentile guarantee; server power consumption; user performance; Atomic clocks; Clustering algorithms; Load modeling; Power demand; Quality of service; Servers; Time factors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking, Architecture and Storage (NAS), 2013 IEEE Eighth International Conference on
Conference_Location :
Xi´an
Type :
conf
DOI :
10.1109/NAS.2013.55
Filename :
6665389
Link To Document :
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